where \({t_k}\)  is the step-size and \({{\xi _k}}\)  denotes the subgradient of \(G\)  at \(S_k\) . A main drawback of this method is its lack of capability in exploiting the problem structure of the \(L_1\)  norm, thus having poor convergence properties [1]}.
